✨ Tripadvisor Scraper 🚀

💦 Find websites, contact details, title, description of hotels and restaurants from TripAdvisor. 💦

(Programming Language - Python 3)

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Disclaimer for Tripadvisor Scraper Project

By using Tripadvisor Scraper, you agree to comply with all applicable local and international laws related to data scraping, copyright, and privacy. The developers of Tripadvisor Scraper will not be held liable for any misuse of this software. It is the user's sole responsibility to ensure adherence to all relevant laws regarding data scraping, copyright, and privacy, and to use Tripadvisor Scraper in an ethical and legal manner, in line with both local and international regulations.

We take concerns related to the Tripadvisor Scraper Project very seriously. If you have any inquiries or issues, please contact Chetan Jain at chetan@omkar.cloud. We will take prompt and necessary action in response to your emails.

👉 Explore Our Other Awesome Products

• ✅ BOTASAURUS: The All-in-One Web Scraping Framework with Anti-Detection, Parallelization, Asynchronous, and Caching Superpowers.

• ✅ GOOGLE MAPS SCRAPER: Discover Search Results from Google Maps.

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Discover search results of hotels and restaurants from TripAdvisor.

🚀 Getting Started

1️⃣ Clone the Magic 🧙‍♀:

git clone https://github.com/omkarcloud/tripadvisor-scraper
cd tripadvisor-scraper

2️⃣ Install Dependencies 📦:

python -m pip install -r requirements.txt

3️⃣ Let the Rain of DATA_NAME3 Begin 😎:

python main.py

Find your Tripadvisor Data in the output directory.

Note: If you don't have Python installed. Follow this Simple FAQ here and you will have your Tripadvisor data in next 5 Minutes

🤔 FAQs

❓ How to Scrape Hotels and Restaurants from Tripadvisor?

1. Open the main.py file.
2. Update the locations list with the locations you are interested in. For example:

locations = [
  "New York",
  "Los Angeles",
  "Chicago",
  "Washington DC",
]

Tripadvisor.search(locations, type=Tripadvisor.HOTEL, max=100)

3. Run it.

python main.py

Then find your Tripadvisor data in the output directory.

Also, to scrape restaurants, use the following example:

locations = [
  "New York",
  "Los Angeles",
  "Chicago",
  "Washington DC",
]

Tripadvisor.search(locations, type=Tripadvisor.RESTAURANT, max=100)

❓ How to scrape all cities in my country?

The following example demonstrates how to scrape 100 hotels from 10 cities in UnitedStates.

locations = Tripadvisor.Cities.UnitedStates()[0:10]
Tripadvisor.search(locations, type=Tripadvisor.HOTEL, max=100) 

After running the code, an united-states-cities.json file will be generated in the output directory with a list of all American cities.

You can prioritize certain cities by editing the cities JSON file in the output folder and moving them to the top of the list.

See the list of all supported countries here.

❓ How to Scrape All The Hotels in My Target Location?

To search for all hotels in your target location, remove the max parameter. This will scrape all the hotels available in the specified locations.

locations = [
  "Detroit",
]

Tripadvisor.search(locations, type=Tripadvisor.HOTEL)

❓ How to Scrape More Tripadvisor Listings Using Your Tripadvisor API?

To scrape additional locations, follow these steps to use our Tripadvisor API with the Free Plan. You can make 50 requests for free, allowing you to scrape 1500 (50 * 30) listings at no cost:

1. Sign up on RapidAPI by visiting this link.

2. Then, subscribe to our Free Plan by visiting this link.

3. Now, copy the API key.

4. Use it in the scraper as follows:

Tripadvisor.search("Atlanta", type=Tripadvisor.HOTEL, max=100, key="YOUR_API_KEY")

5. Run the script, and you'll find hotels in Amritsar in the output folder.

python main.py

The first 50 requests are free. After that, you can upgrade to the Pro Plan, which will get you 30,000 listings (1000 requests * 30) for just $9.

❓ How did you build it?

We used Botasaurus Framework, Botasaurus is an All-in-One Web Scraping Framework with Anti-Detection, Parallelization, Asynchronous, and Caching Superpowers.

Botasaurus helped us cut down the development time by 50% and helped us focus only on the core extraction logic of the scraper.

If you are a Web Scraper, you should learn about Botasaurus here, because Botasaurus will save you countless hours in your life as a Web Scraper.

❓ Need More Help or Have Additional Questions?

For further help, contact us on WhatsApp. We'll be happy to help you out.

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Made with ❤️ using Botasaurus Web Scraping Framework